|
Call for Papers - Special
Issue on:
The
Emergence of Language:
Neural and Adaptive Agent Models
Guest
Editor: Angelo
Cangelosi
|
Connection Science is calling papers for a
special issue entitled ‘The Emergence of Language: Neural and Adaptive
Agent Models’.
Studies of the emergence of
language focus on the evolutionary and/or developmental
factors that affect the acquisition and auto-organisation of a linguistic
communication system. Both language-specific abilities (e.g. speech,
semantics, syntax) and other cognitive,
sensorimotor and social abilities (e.g. category learning, action and
embodiment, social networks) contribute to the emergence of language.
Key research issues and topics in the area include:
§
Emergentism as an
alternative to the nativism/empiricism dichotomy
§
Identification of basic processes producing language complexity
§
Grammaticalization and
emergence of syntax
§
Emergent models of language acquisition
§
Evolution and origins of language
§
Pidgin, creole and second
language acquisition
§
Neural bases of emergent language processes
§
Auto-organization of shared lexicons in groups of
individuals/agents
§
Grounding of symbols and language in perception and
action
The main aims of this special issue are to foster
interdisciplinary and multi-methodological approaches to modelling the
emergence of language, and to identify key research directions for the
future. Models based on neural networks (connectionism, computational
neuroscience) and adaptive agent methodologies (artificial life,
multi-agent systems, robotics), or integrated neural/agent approaches, are
particularly encouraged.
The submitted papers are
expected to: (i) focus on one or more related
research issues (see list above), (ii) explain the importance of the topic,
the open problems and the different approaches discussed in the literature,
(iii) discuss the advantages and drawbacks of the neural and adaptive agent
approaches with respect to other methodologies (including experimental
research) and (iv) present original models and/or significant new results.
Review papers may also be considered.
Invited
Papers
The special issue will include two invited papers, one
from Brian MacWhinney (Carnegie Mellon University) and one
from Luc Steels (VUB University Brussels and SONY Computer Labs Paris). The
invited papers are:
§
Brian MacWhinney, ‘Emergent
Linguistic Structures and the Problem of Time’ (focus on
neural network modeling)
§
Luc Steels,
‘Mirror Learning and the Self-Organisation of Languages’ (focus on
adaptive agent modeling)
Submission
Instructions and Deadline
Manuscripts, either full papers or shorter research
notes (up to 4000 words), following the Connection Science
guidelines (http://www.tandf.co.uk/journals/authors/ccosauth.asp)
should be emailed to the guest editor (acangelosi@plymouth.ac.uk) by December 1, 2004. Reviews
will be completed by March 1,
2005, and final drafts will be accepted no later than May 1, 2005. The special issue will be published
in September 2005.
Guest
Editor
Angelo Cangelosi
Adaptive
Behaviour and Cognition Research Group
School of Computing, Communication & Electronics
University of Plymouth, Plymouth PL4 8AA, UK
Tel: +44 (0) 1752 232559
Fax: +44 (0) 1752 232540
E-mail: acangelosi@plymouth.ac.uk
Web: http://www.tech.plym.ac.uk/soc/staff/angelo
Related
and Sample Papers
Cangelosi,
A., and Parisi, D., 1998, The emergence of a
‘language’ in an evolving population of neural networks. Connection
Science, 10(2): 83-97.
Cangelosi,
A., and Parisi, D., 2004, The processing of verbs
and nouns in neural networks: Insights from synthetic brain imaging. Brain
and Language, 89(2): 401-408.
Elman, J.L,
1999, The emergence of language: A conspiracy theory. In B. MacWhinney (ed.), Emergence of Language (Hillsdale, NJ: LEA).
Knight,
C., Hurford, J.R., and Studdert-Kennedy,
M., (eds), 2000, The evolutionary emergence of
language: social function and the origins of linguistic form (Cambridge:
Cambridge University Press).
MacWhinney, B., 1998,
Models of the emergence of language. Annual Review of Psychology, 49:
199-227.
Plunkett,
K., Sinha, C., Moller,
M. F., and Strandsry, O., 1992, Symbol grounding
or the emergence of symbols? Vocabulary growth in children and a
connectionist net. Connection Science, 4(3-4): 293-312.
Roy, D.,
and Pentland, A., 2002, Learning words from
sights and sounds: A computational model, Cognitive Science, 26:
113-146.
Steels,
L., 2003, Evolving grounded communication for robots. Trends in
Cognitive Sciences, 7(7): 308—312.
Wermter, S., Elshaw, M., and Farrand, S.,
2003, A modular approach to self-organization of robot control based on
language instruction. Connection Science, 15(2-3): 73-94.
|
